| 2024 | ICMLC | Algebraic Adversarial Attacks on Integrated Gradients. | Lachlan Simpson, Federico Costanza, Kyle Millar, Adriel Cheng, Cheng-Chew Lim, Hong Gunn Chew |
| 2023 | ICMLC | A Testbed for Automating and Analysing Mobile Devices and Their Applications. | Lachlan Simpson, Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2021 | ICMLC | Clustering Network-Connected Devices Using Affiliation Graphs. | Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2021 | ICMLC | Detecting Botnet Victims Through Graph-Based Machine Learning. | Kyle Millar, Lachlan Simpson, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2020 | ICMLC | Operating System Classification: A Minimalist Approach. | Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2020 | NOMS | Characterising Network-Connected Devices Using Affiliation Graphs. | Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2018 | NCA | Deep Content: Unveiling Video Streaming Content from Encrypted WiFi Traffic. | Ying Li, Yi Huang, Richard Yi Da Xu, Suranga Seneviratne, Kanchana Thilakarathna, Adriel Cheng, Darren Webb, Guillaume Jourjon |
| 2018 | PAKDD | Deep Learning for Classifying Malicious Network Traffic. | Kyle Millar, Adriel Cheng, Hong Gunn Chew, Cheng-Chew Lim |
| 2016 | ITNAC | Distilling command and control network intrusions from network flow metadata using temporal PageRank. | Latchman Singh, Adriel Cheng |
| 2013 | PAKDD | Using Scan-Statistical Correlations for Network Change Analysis. | Adriel Cheng, Peter Dickinson |